Senior Engagement Lead – Risk & Fraud Analytics Washington, DC (Hybrid) | Full-Time   The Company This is a fast-growing, PE-backed global data analytics and AI business with over 18,000 employees operating across nine countries. Backed by a top-tier private equity firm, the company has been on an aggressive growth trajectory, completing multiple strategic acquisitions in the AI and data science space. They serve clients across financial services, retail, technology, pharma, and logistics, working with Fortune 500 companies and PE portfolio firms. Recognised as a Star Performer in Everest Group's North America PEAK Matrix for Data and AI Services Specialists and a Leader in AIM's PeMa Quadrant for Agentic AI Service Providers, this is a business operating at the cutting edge of AI operationalization.   The Role This is a senior, client-facing engagement lead position overseeing complex analytics and AI programmes for a flagship payments client. You will split your time roughly 60/40 between delivery and business development, eventually managing a team of 4-5 people. You will report directly to the SVP leading all US East engagements and serve as the primary strategic point of contact for senior stakeholders across Risk, Fraud, Payments, and Product.   What You Will Be Doing Client Engagement  Act as a trusted advisor to senior stakeholders across fraud, payments, risk, and product functionsDrive executive-level conversations and present analytical insights, transformation roadmaps, and strategic recommendationsIdentify opportunities to apply data, analytics, and AI to solve client business challengesContribute to account growth through consultative engagement and value creation  Delivery Leadership  Lead end-to-end delivery of large-scale analytics and AI programmes focused on fraud risk, payment risk, and transaction monitoringManage cross-functional teams of data scientists, analysts, and consultantsTranslate business requirements into analytical frameworks, models, and actionable outputsOversee project planning, resource allocation, risk management, and executive reportingDrive adoption of machine learning, AI, and automation solutions across client environments  Thought Leadership  Act as a subject matter expert in payments analytics, fraud analytics, and risk managementStay current on emerging fraud prevention technologies, AI developments, and regulatory trendsDevelop executive-level points of view, frameworks, and client presentationsMentor internal teams and represent the business in client workshops and industry forums    What We Are Looking For  10 years in analytics consulting, risk analytics, fraud analytics, or payments analyticsStrong domain knowledge in fraud detection and prevention, payment risk, card payments, and consumer banking analyticsBackground in a leading analytics or management consultancyDemonstrated experience managing senior client stakeholders and delivering measurable business impactProficiency in AI/ML applications within financial services or risk/fraud contextsA strong academic background in a quantitative discipline (Engineering, Statistics, Mathematics, Computer Science, Economics, or Finance); a Masters or MBA is preferred  If this sounds like the right move for you then please apply!

OverviewThe Senior Director, Business Analytics is responsible for leading and optimizing one or more lines of business through data-driven strategies that enhance profitability, credit performance, and growth. This individual will set strategic goals, drive execution, and collaborate across departments to ensure alignment on key initiatives and business outcomes.Key ResponsibilitiesDefine and execute the strategic vision for a line of business, focusing on growth, credit performance, and profitability.Lead high-quality, autonomous analysis that directly informs business decisions and performance improvements.Develop and maintain efficient, automated processes that minimize operational risk and improve consistency.Drive growth through stable, cost-effective acquisition and application channels.Own and monitor credit performance across channels, ensuring data-driven decisioning and oversight.Build and manage relationships with internal and external partners, vendors, and key stakeholders.Partner with internal teams to establish operational frameworks and infrastructure supporting business initiatives.Create and maintain credit and decisioning models and frameworks tailored to the line of business.Oversee data infrastructure and reporting capabilities to ensure accurate monitoring and insight generation.Develop communication processes to share business performance insights with leadership and stakeholders.Lead planning and resource allocation for technical implementations that enhance program performance.Manage, mentor, and develop a team of analysts to support business objectives.Execute special projects and initiatives as required by business priorities or leadership direction.Qualifications & ExperienceBachelor’s degree required; advanced degree preferred.8 years of hands-on experience in credit risk, loan pricing, or process design within a consumer finance or related analytics-driven environment.Proven ability to manage external partnerships and stakeholders throughout project lifecycles.Expertise in analytical techniques used to produce forecasts, insights, dashboards, and business reporting.Strong background in initiative shaping, project management, and execution oversight.Demonstrated ability to lead strategically while remaining comfortable with hands-on, independent work.Experience building analytical or operational frameworks in complex or evolving environments.Technical proficiency in data analytics, credit analytics, or quantitative modeling.Excellent communication, organizational, and stakeholder management skills.Ability to manage confidential information, prioritize effectively, and operate in a fast-paced, dynamic setting.Proven experience leading and mentoring analytical teams, including coaching, training, and performance management.Skilled at influencing, resolving conflict, and driving collaboration across diverse teams.Proficiency with Microsoft Office and other analytical or business software; quick learner of new systems and tools.Demonstrated commitment to operational excellence, innovation, and organizational values.

Senior Credit Risk Manager / DirectorLocation: New YorkLanguage: English required; additional language proficiency a plusWhy this role exists and what success looks likePortfolio resilience:Within one month of starting, define and model a path to a portfolio capable of absorbing a 100% increase in losses without gross margin falling below a defined threshold.Early momentum:Identify and launch at least one experiment within three months that improves approval strategy, credit limits, pricing, or loan duration. Within four months, at least one live experiment should demonstrate a 1 percentage-point increase in gross profit within the treatment group.Sustained gross profit generation:Within the first year, generate $1M in cumulative incremental gross profit attributable to implemented credit policy changes and experiments. Within two years, reach $5M in cumulative incremental gross profit.Experience & Scope NotesThere is no strict years-of-experience requirement. However, to operate effectively at this level and within the expected compensation range, successful candidates typically bring approximately 6–12 years of relevant experience.This is a senior individual contributor role. Impact is expected to be driven primarily through analysis, experimentation, code, and automation rather than people management. Leadership opportunities may emerge over time where outcomes are best achieved through team expansion. In a fast-growing environment, personal effectiveness—not resource availability—will be the primary limiter of impact.Relevant background:At least one year of experience in either non-prime consumer lending or consumer lending within emerging markets. Experience across both is a strong advantage.Analytical independence:Demonstrated ability to produce technically correct analysis without requiring validation from others. Advanced SQL proficiency is required.Autonomy and ownership:Once familiar with the product and customer base, you proactively identify opportunities for improvement and independently drive initiatives to completion.Comfort with challenge:Ability to receive and engage constructively with critical feedback from leaders and stakeholders, including having assumptions and conclusions questioned.Influence and persuasion:Capacity to gain alignment and drive adoption of decisions that may be unpopular but are critical to financial health and risk management.Risk mindset:Naturally vigilant about downside risk and profit erosion; inclined to dig beyond surface-level explanations and continuously question potential failure modes.Communication and executive presence:Clear, confident communicator capable of managing expectations and presenting credibly to senior stakeholders. Communication should be structured, concise, and easy to follow.

We are delighted to be working exclusively with a confidential client — an innovative, technology-led business operating at the intersection of AI-driven underwriting, consumer lending, and risk management.  On their behalf, we are seeking a Senior Credit Risk Analyst to join a lean, high performing Risk Management team. This is a hands-on, high-ownership role that will suit an experienced credit risk professional who is ready to step away from a large, heavily structured environment and take on genuine analytical accountability - with direct visibility to senior leadership. Our client is a specialist financial technology company whose core product suite includes an AI-powered underwriting and risk-based pricing platform, used by credit unions and lenders across the country. They hold established partnerships with major automotive lending institutions and in 2025 launched a new product line expanding into prime auto lending. The Risk Management team is small by design — collaborative, technically rigorous, and highly effective. With three analysts currently in place, the team is split between front-end analytics covering origination and pricing, and back-end analytics focused on portfolio performance and profit share modelling. What the Role Involves •    Monitoring and analyzing credit risk exposure across loan origination and portfolio performance •    Tracking approval rate drivers, flow metrics, and origination trends, reporting findings to senior leadership •    Building and maintaining performance models and profit share forecast models •    Conducting pricing analysis and optimization in close collaboration with the Actuarial & Decision Science team •    Developing and monitoring credit policies, procedures, and lending stipulations •    Assessing the impact of credit policy changes on loan volume and overall credit performance •    Using data mining and advanced analytical tools to quantify and mitigate credit risk •    Designing and executing ad hoc research projects from scoping through to executive-level presentation •    Communicating clearly and regularly with senior stakeholders on credit performance and origination trends Essential Requirements •    4 years of experience in credit risk analytics within consumer lending (secured or unsecured) •    Strong SQL capability with demonstrable experience querying large, multi-table datasets •    Proficiency in Python, SAS, or R for data mining and analysis (Python strongly preferred) •    Expert-level Microsoft Excel skills including complex workbook development and spreadsheet modelling •    Solid understanding of loan origination metrics and consumer lending portfolio dynamics •    Strong written and verbal communication skills — the ability to translate complex analysis into clear executive insight •    Highly organized, with proven ability to manage multiple workstreams under pressure and to deadline •    Collaborative and proactive in working with internal stakeholders Desirable •    Background in larger corporate environments with a desire for greater ownership and autonomy •    Master's degree in Finance, Economics, Mathematics, Business, MIS, or a related quantitative field •    Familiarity with auto lending, structured risk products, or insurance-linked financial structures Education •    Bachelor's degree in Finance, Economics, Mathematics, Business, MIS, or a related quantitative field — required •    Master's degree in a related field — preferred Why This Opportunity Stands Out •    A highly differentiated product in the auto lending market — you will be working on something technically interesting and commercially significant •    A small team with a flat structure — your work will be seen, valued, and acted upon at the highest levels of the organization •    Flexible working arrangements with a collaborative, close-knit team culture •    Strong employer commitment to technical training and career development •    Excellent total compensation — competitive base with a meaningful and well-structured bonus scheme We are delighted to be working exclusively with a confidential client — an innovative, technology-led business operating at the intersection of AI-driven underwriting, consumer lending, and risk management.  On their behalf, we are seeking a Senior Credit Risk Analyst to join a lean, high performing Risk Management team. This is a hands-on, high-ownership role that will suit an experienced credit risk professional who is ready to step away from a large, heavily structured environment and take on genuine analytical accountability - with direct visibility to senior leadership. Our client is a specialist financial technology company whose core product suite includes an AI-powered underwriting and risk-based pricing platform, used by credit unions and lenders across the country. They hold established partnerships with major automotive lending institutions and in 2025 launched a new product line expanding into prime auto lending. The Risk Management team is small by design — collaborative, technically rigorous, and highly effective. With three analysts currently in place, the team is split between front-end analytics covering origination and pricing, and back-end analytics focused on portfolio performance and profit share modelling. What the Role Involves •    Monitoring and analyzing credit risk exposure across loan origination and portfolio performance •    Tracking approval rate drivers, flow metrics, and origination trends, reporting findings to senior leadership •    Building and maintaining performance models and profit share forecast models •    Conducting pricing analysis and optimization in close collaboration with the Actuarial & Decision Science team •    Developing and monitoring credit policies, procedures, and lending stipulations •    Assessing the impact of credit policy changes on loan volume and overall credit performance •    Using data mining and advanced analytical tools to quantify and mitigate credit risk •    Designing and executing ad hoc research projects from scoping through to executive-level presentation •    Communicating clearly and regularly with senior stakeholders on credit performance and origination trends Essential Requirements •    4 years of experience in credit risk analytics within consumer lending (secured or unsecured) •    Strong SQL capability with demonstrable experience querying large, multi-table datasets •    Proficiency in Python, SAS, or R for data mining and analysis (Python strongly preferred) •    Expert-level Microsoft Excel skills including complex workbook development and spreadsheet modelling •    Solid understanding of loan origination metrics and consumer lending portfolio dynamics •    Strong written and verbal communication skills — the ability to translate complex analysis into clear executive insight •    Highly organized, with proven ability to manage multiple workstreams under pressure and to deadline •    Collaborative and proactive in working with internal stakeholders Desirable •    Background in larger corporate environments with a desire for greater ownership and autonomy •    Master's degree in Finance, Economics, Mathematics, Business, MIS, or a related quantitative field •    Familiarity with auto lending, structured risk products, or insurance-linked financial structures Education •    Bachelor's degree in Finance, Economics, Mathematics, Business, MIS, or a related quantitative field — required •    Master's degree in a related field — preferred Why This Opportunity Stands Out •    A highly differentiated product in the auto lending market — you will be working on something technically interesting and commercially significant •    A small team with a flat structure — your work will be seen, valued, and acted upon at the highest levels of the organization •    Flexible working arrangements with a collaborative, close-knit team culture •    Strong employer commitment to technical training and career development •    Excellent total compensation — competitive base with a meaningful and well-structured bonus scheme

Broadgate are excited to be partnering with a New York based Regional Bank who are looking for a Senior Credit leader.   Essential Duties & Responsibilities Credit Governance & Approvals:Serve as a voting member of the Greenlight Working Group, Credit Risk Committee, and Troubled Asset Working Group.Exercise final credit approval authority within delegated limits; approve or decline transactions (new, extensions, modifications) that fall outside standard underwriting parameters.Approve and challenge C&I risk rating migrations between pass and classified/criticized.Provide effective challenge on material credit risk decisions prior to committee presentations, including policy compliance, risk ratings, exposure limits, and identified weaknesses.Credit Framework & Policy Oversight:Review, approve, and monitor credit policy exceptions, including trend analysis and remediation.Partner with the Chief Credit Risk Officer (CCRO) and risk committees to establish portfolio and counterparty limits aligned with the Bank's risk appetite.Anticipate and assess regulatory developments, macroeconomic conditions, and industry trends to proactively adjust credit risk practices.Remediate credit risk MRAs and internal audit findings.Portfolio Monitoring & Analytics:Oversee C&I portfolio performance — compare actual versus expected performance and recommend policy, structural, or underwriting adjustments where misalignments arise.Identify individual, aggregate, and emerging risks, including early warning indicators across transactions, industries, and portfolios.Analyze external and macroeconomic risk drivers and forecast their impact on portfolio performance; recommend responsive changes to lending policies and loan administration.Identify distressed assets early and develop risk-mitigation strategies to minimize potential losses.Oversee credit risk associated with complex or non-traditional exposures, including counterparty and structured transactions.  Skills, Education & Experience Education & Experience:Bachelor's degree; MBA or advanced degree preferred.20 years of progressive experience in financial services with deep expertise in credit risk management within a corporate and/or commercial lending environment,Significant leadership experience (typically 10–15 years)Deep subject matter expertise in at least one complex or specialized credit area (e.g., Private Credit, Lender Finance, Private Equity, Subscription Finance, CLOs, or similar structured credit products).Expert-level understanding of commercial and corporate credit underwriting, risk rating frameworks, credit policy governance, and exception management.Advanced knowledge of credit risk measurement methodologies, including loss forecasting, counterparty credit risk assessment, stress testing, and portfolio analytics.Strong command of financial analysis, quantitative risk indicators, and the use of data to support credit decisions and risk-based recommendations.Advanced knowledge of applicable federal and state banking laws and regulations, and regulatory expectations governing credit risk management.